Robotics and the Future of Robotic Navigation Systems
Overview
The advent of robotics has initiated a seismic shift in several industry sectors, with robotic navigation systems marking a significant stride forward. This guide provides an in-depth look into the future of robotics and robotic navigation systems, highlighting key statistical projections and advancements.
Growth and Adoption of Robotics
The International Federation of Robotics (IFR) reported in 2020 that more than 2.7 million industrial robots were operating in factories worldwide—an increase of 12% compared to the previous year. By 2023, it's predicted that this figure will reach 4 million units. Driving this growth, the use of robotic navigation systems is becoming increasingly mainstream. With the compound annual growth rate (CAGR) of the global mobile robotic systems market reaching 17.6% annually, experts forecast this market will surpass USD 9.8 billion by 2026.
Advancements in Robotic Navigation Systems
Robotic navigation systems are constantly evolving, making strides towards autonomous operation through innovation. An important aspect of this is the upgrade in sensor technology. Statista data indicates that the smart sensor market will reach nearly $80 billion by 2022, a testament to their increasing application in robotic systems. Furthermore, the use of Artificial Intelligence (AI) is transforming robotic navigation, with the global AI in the automotive market, primarily driven by autonomous vehicles, expected to bloom to a staggering $12 billion by 2025.
Introduction of 5G and Impact on Robotics
The dawn of 5G technology brings monumental implications for robotics and specifically, robotic navigation systems. Juniper Research projects that by 2025, 5G powered services for businesses including industrial automation could generate up to $619 billion annually. This ultra-fast and low latency connectivity paves the way for more efficient and precise communication between robotic systems, augmenting real-time data analysis and improving navigation standards.
Key Takeaways
• Robotic adoption is accelerating, with novel navigation systems at the forefront. • Sensor technology and AI are revolutionizing navigation standards. • The advent of 5G offers huge potential for improving data analysis as well as navigation capabilities.
3Laws Robotics
3Laws Robotics is contributing towards these advancements in robotics and is particularly focused on enhancing the safety and reliability of robotic systems. One of the challenges it addresses pertains to certification, a key concern for robotics companies. Through its cutting-edge software, 3Laws Supervisor, they aim to simplify this process by providing strong safety features and proving system robustness. Supported by control barrier functions (CBFs), a technology developed at Caltech, 3Laws promises mathematically provable safety.
3Laws has a varied range of use cases spanning multiple sectors; it lent its technological prowess to warehouse automation, aiding an autonomous forklift client to boost efficiency by 40% and achieve a 6-month payback. In the realm of human-robot interaction, 3Laws ensures safe and uninterrupted operation of robots in proximity to humans, an arena where collaborative robotic solutions are in demand.
3Laws enhances operational efficiency by minimizing unneeded e-stops or collisions. With real-time safeguards for autonomy stacks, robots can operate closer to their highest capabilities while maintaining safety. The software is adaptable and works with a diverse array of platforms, including mobile robots, cars, drones, and manipulators. It is compatible with widely used robotic middleware such as ROS and ROS2.
3Laws Robotics is creating a future where safety goes beyond traditional emergency stop methods. It's envisaging a proactive approach that can realize the full potential of robotics with predictive safety that can be safety certified for ISO 3691-4 and ISO 26262.